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Weeklab 1.2 Done #597

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173 changes: 171 additions & 2 deletions lab-python-functions.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -43,11 +43,180 @@
"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 17,
"id": "e2086d88",
"metadata": {},
"outputs": [],
"source": [
"products = [\"t-shirt\",\"mug\",\"hat\",\"book\",\"keychain\"]"
]
},
{
"cell_type": "code",
"execution_count": 18,
"id": "388f54be",
"metadata": {},
"outputs": [],
"source": [
"#1.\n",
"inventory = {}\n",
"def initialize_inventory(products):\n",
"\n",
" for product in products:\n",
" quantity = int(input(f\"Enter the quantity for {product}:\"))\n",
" \n",
" inventory [product] = quantity #assign the product name as the key and the quantity as the value\n",
"\n",
" return inventory #return full dictionary\n",
" \n",
" \n",
" "
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "2ad51c49",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'t-shirt': 50, 'mug': 100, 'hat': 20, 'book': 30, 'keychain': 100}\n"
]
}
],
"source": [
"print(initialize_inventory(products))"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "a492dc00",
"metadata": {},
"outputs": [],
"source": [
"#2\n",
"\n",
"customer_orders = set()\n",
"def get_customer_orders():\n",
" continuing_order =\"yes\"\n",
" while continuing_order==\"yes\":\n",
" product = (input(f\"Enter a product name:\"))\n",
" customer_orders.add(product)\n",
" continuing_order = input (f\"Add another?( yes/no):\")\n",
" return customer_orders"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "d139b329",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'mug', 'book', 'hat'}\n"
]
}
],
"source": [
"print(get_customer_orders())"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "0aa784b2",
"metadata": {},
"outputs": [],
"source": [
"#3\n",
"def update_inventory (customer_orders, inventory):\n",
" for product in customer_orders:\n",
" if product in inventory: \n",
" inventory[product] -= 1\n",
" return inventory \n",
" "
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "199f7d79",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'t-shirt': 50, 'mug': 99, 'hat': 19, 'book': 29, 'keychain': 100}\n"
]
}
],
"source": [
"print(update_inventory(customer_orders,inventory))"
]
},
{
"cell_type": "code",
"execution_count": 22,
"id": "41a68508",
"metadata": {},
"outputs": [],
"source": [
"#4 \n",
"def calculate_order_statistics(customer_orders,products): \n",
" total_products_ordered = len (customer_orders)\n",
" percentage_ordered = (len(customer_orders)/len(products))*100\n",
" return total_products_ordered, percentage_ordered"
]
},
{
"cell_type": "code",
"execution_count": 23,
"id": "ad5033ee",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Total Products ordered: 3\n",
"Percentage of Catalog: 100.0%\n"
]
}
],
"source": [
"#5 \n",
"def print_order_statistics (order_statistics):\n",
" total,percent = calculate_order_statistics(customer_orders,products)\n",
"print(f\"Total Products ordered: {total}\")\n",
"print(f\"Percentage of Catalog: {percent}%\")\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "f0dcb295",
"metadata": {},
"outputs": [],
"source": [
"#6 \n",
"def "
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
Expand All @@ -61,7 +230,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.14.2"
}
},
"nbformat": 4,
Expand Down